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A causal decomposition analysis allows researchers to determine whether the difference in a health outcome between two groups can be attributed to a difference in each group's distribution of one or more modifiable mediator variables. With this knowledge, researchers and policymakers can focus on designing interventions that target these mediator variables. Existing methods for causal decomposition analysis either focus on one mediator variable or assume that each mediator variable is conditionally independent given the group label and the mediator‐outcome confounders. In this article, we propose a flexible causal decomposition analysis method that can accommodate multiple correlated and interacting mediator variables, which are frequently seen in studies of health behaviors and studies of environmental pollutants. We extend a Monte Carlo‐based causal decomposition analysis method to this setting by using a multivariate mediator model that can accommodate any combination of binary and continuous mediator variables. Furthermore, we state the causal assumptions needed to identify both joint and path‐specific decomposition effects through each mediator variable. To illustrate the reduction in bias and confidence interval width of the decomposition effects under our proposed method, we perform a simulation study. We also apply our approach to examine whether differences in smoking status and dietary inflammation score explain any of the Black‐White differences in incident diabetes using data from a national cohort study. [ABSTRACT FROM AUTHOR]

Fall armyworm (FAW) infestation and control strategies used by maize farmers in two districts of Ghana's Upper West Region were studied. We first identified the various strategy maize farmers use to manage FAW infestations from cross-sectional data. Next, we employed a multivariate probit model to analyse factors influencing control strategy choices. FAW infestation is a major issue farmers in the study area face, as 67% of them perceived it to be increasing year after year since 2016. Farmers responded to FAW infestation with crop uprooting and disposal (88%), early planting (86%), pesticide use (68%), improved seeds (67%), handpicking (30%) and powdered soap or OMO (27%) as control measures. While several factors influenced farmers' choices of these control strategies, farmers participating in contract farming were more likely to choose improved seeds, while those receiving agricultural training were more likely to plant early or use improved seeds as FAW control measures. Well-designed farmer-friendly contracts and provision of agricultural training can help farmers adopt appropriate agronomic practices that enable them to contain the FAW outbreak in the study area. [ABSTRACT FROM AUTHOR]

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This paper investigates the association and causality between household financial knowledge and their corresponding financial behaviours in financial asset allocation and financial market participation. The 2014 data of the China Family Panel Studies (CFPS) is used to examine the financial behaviours of Chinese households. Our empirical results suggest that the level of financial knowledge is positively correlated with the number of various types of financial assets. Additionally, by utilizing a multivariate probit model with binary responses, allowing for pairwise correlations among unobservable factors, it is found that household heads with higher financial knowledge are more likely to participate in certain financial markets, such as term deposits, mutual funds and stocks. When using the instrumental variable approach, it confirms that financial knowledge has some positive impacts on the number of assets and ownership of mutual funds and stocks. We argue that financial knowledge can be a predictor of financial behaviour, but it has its limitation for market participation. The removal of institutional barriers and the improvement in information discourse in China should also be implemented to help Chinese households participate the financial market. [ABSTRACT FROM AUTHOR]

Degraded land is a major danger to agricultural productivity and food security in Ethiopia. Sustainable land management technologies (SLMTs), through targeted interventions, have been applied to address this problem. Notwithstanding some of the known agricultural and environmental benefits connected with the adoption of some SLMTs, the adoption rate remains below expectations. Therefore, this study aims to analyze the relationships and determinants of the adoption of SLMTs in eastern and southern Ethiopia. Data were collected from 384 sampled households selected using multi-stage sampling techniques. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. Estimated results of MVP revealed that the adoption of SLMTs is positively and significantly influenced by education level, livestock, membership in a social group, extension contacts, access to SLM information, training, credit, land tenure, and slope, while age, farm distance, and the number of active family members due to youth migration abroad had negative effects. The widely adopted SLMTs on farmlands were inorganic fertilizer (49.5%), soil bunds (48.4%), bench terraces (47.2%), intercropping (46.1%), and manure (38%). This study concluded that farmers invested a blend of SLMTs, some of which complemented and others substituted for one another. Therefore, policy-makers and planners should focus on fortifying human and local institutions' capacity to implement SLM and consider SLM technology interdependencies before communicating with farmers. [ABSTRACT FROM AUTHOR]

Degraded land is a major danger to agricultural productivity and food security in Ethiopia. Sustainable land management technologies (SLMTs), through targeted interventions, have been applied to address this problem. Notwithstanding some of the known agricultural and environmental benefits connected with the adoption of some SLMTs, the adoption rate remains below expectations. Therefore, this study aims to analyze the relationships and determinants of the adoption of SLMTs in eastern and southern Ethiopia. Data were collected from 384 sampled households selected using multi-stage sampling techniques. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. Estimated results of MVP revealed that the adoption of SLMTs is positively and significantly influenced by education level, livestock, membership in a social group, extension contacts, access to SLM information, training, credit, land tenure, and slope, while age, farm distance, and the number of active family members due to youth migration abroad had negative effects. The widely adopted SLMTs on farmlands were inorganic fertilizer (49.5%), soil bunds (48.4%), bench terraces (47.2%), intercropping (46.1%), and manure (38%). This study concluded that farmers invested a blend of SLMTs, some of which complemented and others substituted for one another. Therefore, policy-makers and planners should focus on fortifying human and local institutions’ capacity to implement SLM and consider SLM technology interdependencies before communicating with farmers.

Abstract The adoption of improved agricultural technology packages is vital in Ethiopia, as the expansion of cultivable land appears nearly exhausted and population size has skyrocketed. However, the country has shown a low adoption rate. Thus, this study aimed to explore the factors that hinder or facilitate the adoption of multiple maize technology packages and intensity of adoption in the northern Sidama zone of Ethiopia. A multistage sampling procedure was applied to gather cross-sectional data from 424 farm households owning 545 maize plots. A multivariate probit and two-limit Tobit models were applied to address the study objectives. The conditional probability results confirmed that maize technology packages are complementary (positive relationship). This infers that agriculture-focused policies that influence the adoption of a single component of technology packages can have a reinforcing advantage over the adoption of other technologies. Furthermore, the results from the models showed that farmers with greater experience, family size, plot size, livestock and oxen ownership, number of maize plots owned, off-farm income, access to credit, extension services and membership in institutions are more likely to adopt at least one of the improved technology packages and achieved a better status of intensity of adoption. Therefore, it is crucial to reinforce and deliver quality extension services, provide credit access, motivate youth to be involved in farming activities, inspire membership and ease the system to access inputs and technologies for broader adoption of technology packages.

Introduction: There is a global priority to ensure food security, environmental conservation and sustainability. The adoption of inputs such as organic manures, biofertilisers, and biopesticides has been widely promoted as a way to enhance agricultural sustainability, yet their adoption rates remain notably low. The study examines the determinants and impact of the adoption of multiple sustainable inputs by paddy farmers in India. The study also examines the drivers behind the intensity of their adoption and their technical efficiency. Methods: The study utilises the survey dataset on paddy farmers from "Situation Assessment of Agricultural Households and Land and Livestock Holdings of Households in Rural India" of the 77th National Sample Survey (NSSO) round. The reference period for data collection was the agricultural year from July 2018 to June 2019. The analytical methods employed include the Multivariate Probit and Ordered Probit models, Seemingly Unrelated Regression, Regression Adjustment model, and Stochastic Frontier method. Results: The empirical findings reveal that the adoption and intensity of sustainable inputs depend significantly on factors such as the household head's age and education, household size, and access to extension services. Adopting sustainable inputs has significant benefits, such as increased harvest value. However, the currently available technical advisory services are limited in effectively promoting the expenditure on sustainable inputs. Technical efficiency analysis underscores the potential for improvement and the importance of utilising optimal input levels. The research findings provide strong evidence in favour of advocating for the use of sustainable inputs in paddy farming. [ABSTRACT FROM AUTHOR]

In this paper, we analyse the computational advantages of the spherical parametrisation for correlation matrices in the context of Maximum Likelihood estimation via numerical optimisation. By using the special structure of correlation matrices, it is possible to define a bijective transformation of an n × n correlation matrix R into a vector of n (n - 1) / 2 angles between 0 and π . After discussing the algebraic aspects of the problem, we provide examples of the use of the technique we propose in popular econometric models: the multivariate DCC-GARCH model, widely used in applied finance for large-scale problems, and the multivariate probit model, for which the computation of the likelihood is typically accomplished by simulated Maximum Likelihood. Our analysis reveals the conditions when the spherical parametrisation is advantageous; numerical optimisation algorithms are often more robust and efficient, especially when R is large and near-singular. [ABSTRACT FROM AUTHOR]

Understanding farmers’ perceptions and responses to climate change (CC) is crucial for decision-makers to design effective adaptation strategies. This study examines farmers’ perceptions of CC, their adaptation responses, and the determinants influencing their decisions on CC adaptation strategies in the Central Rift Valley of Ethiopia. Data were collected from 339 randomly selected household heads in two districts using a semi-structured questionnaire. Additionally, focus group discussions were held at each Kebele to support the findings from the quantitative survey. Farmers in the study area are aware of CC and its adverse impacts on agriculture and ecosystems. In response, they adopt various strategies, including changing planting dates, switching to short-maturing varieties, practising soil and water conservation, livestock diversification, destocking livestock, and small-scale irrigation. Results from the multivariate probit model employed indicate that the educational level of the household head, farm size, income, farm experience, livestock ownership, and membership in a farmer cooperative significantly influence farmers’ choices of adaptation strategies. The study’s findings suggest the need for substantial investment in farmer schooling, diversifying farmers’ sources of income to generate backup savings, and focusing on the start-up of local community organizations. Furthermore, there is a need to improve the capacity of farmers to adopt autonomous and policy-driven adaptation strategies.

The promotion of climate-resilient practices (CRPs) requires the development of the capacity of farmers to adopt these practices owing to the knowledge-intensive nature of technologies. Extension services serve as a conduit for facilitating the conceptualization of CRPs and are instrumental in improving the resiliency and mitigation of climate change. We used a social-ecological framework and a multivariate probit model to analyze the drivers of the CRP uptake in moisture-stressed areas in Ethiopia, with a particular focus on extension services. Unlike previous studies that investigated a single technology, we considered a bundle of technologies. We focused on the use of two capital-intensive CRPs (drought-resistant seed and inorganic fertilizer) and four knowledge-intensive CRPs (minimum tillage, farmyard manure, water-saving technology, and crop residue retention). The role of extension services in promoting other CRPs beyond input and capital-intensive technologies was insignificant. Heterogeneity analysis revealed that the correlation between extension services and the adoption of other knowledge-intensive natural resource management practices holds irrespective of the proximity to the extension service providers. This finding highlights the need for targeted and tailored interventions that support farmers to address the challenges faced by them in moisture-stressed areas. Accordingly, we propose continuously improving the ability of the extension service providers to promote climate-change adaptation knowledge and practices. This should be accompanied by efforts to strengthen a pluralistic extension system, improve land tenure security, and decrease transaction costs for farmers through output market linkages.

Agricultural mechanization is one of the key components that enhance agricultural intensification. Thus, this study investigates determinants of agricultural machine renting of smallholder farmers using cross-sectional data obtained from 192 agricultural machine users and 208 non-users of agricultural machine smallholder farmers from West Gojjam zone, Ethiopia. Three districts were selected because of the presence of agricultural mechanization intervention The data were collected from 400 households selected randomly and proportionally from Wonberma, Burie Zuria, and Dembecha districts from January to April 2021 year. To describe and analyze the data descriptive statistics and econometric model were used. The descriptive statistics show among agricultural machine renting households about 25.3% households were rented tractor, 22.3% combine harvester 28.54% maize Sheller and other farmers use two or all three types of machines simultaneously. The result of multivariate probit model showed that correlation coefficient between tractor and combine harvester, tractor, and maize Sheller, and combine harvester and maize Sheller were 63.1, 48.2, and 68.6%, respectively. The positive sign indicates the adoption of one type of machine enhancing the marginal productivity of other types of machines. Adoption of agricultural machine renting were influenced by age of households, level of education, ownership of oxen, total cultivated land, extension visit, and information access from extension agent positively and significantly. On the other hand, family size, distance to development agent and distance to the nearest market were negatively and significantly affect agricultural machine renting. Based on the finding, this paper recommends that the governmental and non-governmental organization should focus on the strengthening of formal and informal education, development of infrastructures, and extension visit which promote agricultural machine renting services.

Despite the numerous advantages of soil fertility management (SFM) practices and substantial investments to promote adoption, uptake of these technologies remains low across sub-Saharan Africa. We study the adoption and intensity of key SFM practices - improved fallow, animal manure, compost, crop residue retention, minimum tillage, inorganic fertilizer, and intercropping among rural farmers in Zambia. Data from 1234 rural farms and the multivariate probit (MVP) and generalized Poisson regression models are used. The MVP model highlights interconnections among practices, emphasizing the need for integrated interventions. Socio-demographics like gender, age, education, and household labor availability significantly influence adoption of SFM practices. Farm characteristics including experience, land ownership, livestock, and off-farm income also play pivotal roles. Accessibility of information via phones, radio, and farmer groups emerged as a crucial enabler, while extension services, credit, and proximity to markets and roads shape adoption decisions. Results indicate education, household labor, off-farm income, and group membership drive intensity of adoption. Extension contacts, training, and agro-ecological region location also affect intensity with regional variations. Key policy implications emerge. First, the complementarities among practices underscore the need for holistic strategies recognizing these synergies. Second, enhancing education specifically for younger farmers can promote adoption of SFM technologies by increasing knowledge. Third, spurring farmer groups facilitates knowledge exchange, input access, and collaborative adoption. Fourth, strategic extension services and training programs are vital to address knowledge gaps for sustained adoption. Overall, this study provides insights to guide policies for promoting SFM practices among rural farms.

AbstractProduct upgrading is the most viable solution for small holder farmers to increase their income and capture more of the value of their product in the value chain. This paper was aimed at assessing factors affecting smallholder tomato producers’ participation decisions in product upgrading (adopting improved variety, pesticide application, and staking). Qualitative and quantitative data were collected from primary and secondary sources of data. Semi-structured interview, focus group discussion, key informant interview, and personal observation were used to collect data. To analyse data obtained from sample respondents, descriptive and econometric models (multivariate probit model) were used. The result of the study implied that family size, farming experience, year of school, access to market information, training, seed, and pesticide significantly and positively influenced one or more product upgrading techniques while age and market distance had negative and significant association with product upgrading. Therefore, policy and development interventions should give emphasis towards the improvement of such institutional support system so as to foster household participation in product upgrading.

Climate-smart agricultural technologies (CSATs) are important for climate change adaptation and mitigation in developing countries. Therefore, it is crucial for farmers to have access to sustainable CSATs to cope with climate change. While coffee is an important commercial crop in Democratic Republic of Congo (DRC), farmers suffer from coffee fluctuation in production attributed to climate variability. Accordingly, various coffee-related CSATs, notably coffee cultivars, manure and intercropping have been introduced in Kalehe Territory of the DRC to build climate resilience and adapt to changing environmental conditions. However, coffee cultivars are not widely used. This study fitted a two-step Heckman model to correct for selection bias on a randomly selected cross-sectional sample of 442 smallholder coffee farmers to examine the drivers of CSATs uptake in Kalehe Territory. The model results showed that family labour, non-farm income, access to credit and extension services, and residing in Butumba Village were the major factors influencing the decision of coffee farmers to use CSATs. The results revealed that manure and new coffee cultivars, manure and intercropping combined with manure had the potential to be substitutes for each other. The study recommends that policy makers and other stakeholders in CSATs support the dissemination of CSATs, especially coffee cultivars, to facilitate access. There is need to promote extension services so that the combination of intercropping and manure can help to increase coffee farmers’ welfare. The government should support farmers’ use of CSATs through either the subsidization of coffee cultivars or the provision of cheap agricultural credit.

Climate change and soil fertility decline are major hurdles to agricultural ecosystems. Despite the importance of climate-resilient practices (CRPs) in enhancing food security, poverty alleviation and nutritional security, awareness and adoption remain low in most developing countries, including Kenya. We assessed the determinants of simultaneous awareness and adoption of CRPs and their intensity in Central Highlands of Kenya. The CRPs considered in this study were inorganic fertilizer and manure integration, manure, mulching, crop residues, cover crop, crop rotation and intercrop. The study used a cross-sectional survey design and collected data from 400 smallholders in Central Highlands of Kenya. The data were analyzed using descriptive statistics, multivariate probit and Poisson regression. Our findings showed that awareness and adoption of specific CRPs and their intensity were determined by occupation, age, farming experience, household size, soil fertility management, climate change adaptation, agricultural training, and geographical location. Smallholders’ agricultural training was an important determinant of awareness, adoption level, and intensity. Our findings underscored the need for agricultural policymakers and extension systems to design farmer-driven training programs for enhanced awareness and adoption of CRPs.

Heat-tolerant tomato (Solanum lycopersicum L) can be used to alleviate the impact of climate variability, increase productivity, and increase income of smallholder vegetable farmers under tropical conditions. Adoption of improved nursery practices and willingness to adopt heat-tolerant tomato varieties under tropical conditions was examined. Using data from 432 tomato farmers, multivariate probit and tobit regression models were used to assess willingness to adopt heat-tolerant varieties and number of nursery practices. Willingness to adopt heat-tolerant tomato varieties was positively influenced by education, experience, and extension contacts. Adoption of improved nursery practices was influenced by sex, household size, off-farm income, credit, education and extension. These results will enable decision-makers to prioritize strategies that target educated farmers with more years of experience in tomato production and have contacts with extension to enhance the adoption of heat-tolerant tomato seeds with complementary improved nursery practices to increase productivity and income of smallholder tomato farmers under tropical conditions. [ABSTRACT FROM AUTHOR]

Although a sizable body of research concerning innovation and intellectual property (IP) performance exists, there has been limited attention on whether the state of IP strengthens or curtails innovation activity in the global south, specifically among sub-Saharan Africa firms. This article analyzes the direct impacts of IP on innovation performance in sub-Saharan Africa, namely patents, copyrights, industrial designs, and trademarks. The paper responds to firms extracting value from intellectual property strategies through innovation activities and overall performance. Using the World Bank Enterprise Survey (WBES) and Innovation Follow-up Survey (IFS), we find that appropriation channels are essential for transforming innovation pursuits into a competitive advantage. Our results further reinforce that appropriation mechanisms are crucial to innovation and may allow firms to gain returns on their innovation activities. Regardless of the weaknesses and limitations of the patenting strategy in sub-Saharan Africa, the probability of patenting an innovation relates to a process and product innovation while controlling for several other effects. More importantly, we demonstrate how industrial designs and improved or changed trademarks can foster inclusive performance. In addition, we show that beyond perception-based innovations, intellectual property strategies also matter to innovation intensity and sales growth. Consequently, our results indicate that the significance of innovation for competitiveness puts intellectual capital at the critical juncture of knowledge management. [ABSTRACT FROM AUTHOR]

Poverty reduction and the promotion of sustainable human development are fundamentally dependent on having access to modern energy services. Energy supplies that are dependable, reasonably priced, and sustainable are vital to modern societies. In achieving the sustainable development goals (SDG7) and access to clean energy supplies, this study, using cross-sectional data from 180 randomly sampled rural households, analyzed the key factors determining the choice and intensity of energy sources used for lighting and cooking in rural Nigeria. Both descriptive and inferential statistics (multivariate probit (MVP) and zero-truncated Poisson (ZTP models)) were employed for the analyses. The result showed that there is evidence of fuel stacking in their choice of cooking and lighting energy, and it increases with rising income levels but is more pronounced for lighting than cooking. The result also revealed that reliable access to clean energy (9% of sampled households for LPG and 23% of the households for grid electricity) is very low, as these households still rely on fuelwood (70%) for cooking, but the predominant usage of kerosene (39%) for lighting, as reported in the literature, has drastically changed to dry cell battery (51%). The results using a multivariate probit model to capture the multiple fuel usage phenomenon among rural households show that access to clean energy, improvement in rural poverty, usage of indoor kitchens, household size, and an increase in the education of household heads' spouses significantly influence the use of clean energy in the rural areas. In the same vein, the result of the ZTP model showed that income, access to energy sources, and occupation of the household head were the drivers of the intensity of cooking and lighting energy sources. Thus, it is recommended that any policy interventions that are targeted at encouraging rural households to use clean energy should start by improving rural access to these clean energy sources, improving their poverty status while also increasing the level of education and awareness of rural women concerning the risks of using dirty energy sources. [ABSTRACT FROM AUTHOR]

Adoption of climate-smart agriculture practices are believed to have significantly lessened the devastating impact of climate change on agriculture. However, in countries like Ethiopia, the adoption and use level of climate-smart agriculture practices remains low. The understanding of farmers’ levels of CSA practice adoption and influencing factors is therefore crucial. The goal of the study is to evaluate the degree to which various CSA practices were being used in the study area, as well as adoption determinants. The study was conducted in Welmera district, Oromia, Ethiopia. Three kebeles were chosen from the district, and a random sample of 306 farmers was picked. We used a cross-sectional household survey, a focus group discussion, and interviews with key informants. A multivariate probit model was employed to investigate the factors influencing the adoption of multiple climate-smart agriculture practices. According to the result, conservation agriculture, integrated soil fertility management, and crop diversification are the most often used CSA practices. The results also revealed that male farmers outperformed female farmers in terms of crop diversity and improved animal feed and feeding practice adoption. The age of farmers has a considerable and unfavorable impact on their likelihood of adopting improved soil fertility management and crop diversification practices. However, it has a positive and considerable impact on the adoption of agroforestry practices. With regards to economic factors, having a relatively big farmland area considerably enhances the adoption of conservation agriculture, enhances soil fertility management and crop diversity, and improves livestock feed and feeding methods and post-harvest technology practice. Improved livestock feed and feeding are more likely to be used with higher farm income. Having a significant number of animals strongly promotes the adoption of conservation agriculture, and access to financial services positively impacts agroforestry, diversification of crops, and postharvest technology practice adoption. Furthermore, institutional factors including access to agricultural extension services and training were discovered to be important and beneficial for crop diversification; similarly, access to field day participation was discovered to have a significant and positive impact on the adoption of conservation agriculture and improved soil fertility management practices. It is critical to raise awareness about climate change among farmers and experts, as well as to incorporate location-specific CSA practices into agricultural programs. [ABSTRACT FROM AUTHOR]

A study was undertaken to analyse farmers' access to various agricultural extension service sources, their preferences and to delineate underlying determinants for their access. The study used NSSO 77th survey dataset of 14,782 households of IGP states (Bihar, Haryana, Punjab, Uttar Pradesh, West Bengal). Farmers' preferences varied, with private agencies--particularly input dealers-- emerging as the top choice, followed by traditional mass media channels and the public extension system. Utility of Cooperative model, and farmer-based organizations have not yet been fully explored for information needs. The inputs (seeds, fertilizers, plant protection) were the most sought-after information. However, in an era of changing needs, farmers should strive to acquire additional information on aspects such as marketing, climate change, and post-harvest functions. The type of information sought by the farmers, influences their preferred sources of extension services. Irrespective of the source, the degree of access diminishes with the decreasing landholding. Among the five IGP states, Haryana emerged as the champion of information access for farmers, while Bihar lagged. Multivariate probit analysis reported that the likelihood of access to agricultural information sources was positively influenced by age, gender, education, size of operational landholding, irrigated area, and sale of produce at MSP. The study suggests making the extension services for small and socio-economically marginalized farmers more inclusive. Inclusiveness of extension services is essential for sustainability because it ensures that all farmers, regardless of their landholding, gender, age, caste, etc., have access to knowledge and resources they need to adopt improved agricultural practices and thus, secure prosperous livelihoods. [ABSTRACT FROM AUTHOR]

Agricultural production is affected by the threats of climate change, such as changes in the frequency of extreme events (such as flood and drought), changes in rainfall patterns, and increased pest attacks and diseases. As a result, the farmers face huge socio-economic losses in the form of loss of lives, loss of cultivable lands, loss in crop yield, and loss to infrastructure. The smallholder farmers who primarily depend on rainfed agriculture for a living bear major crop losses and threats to food security due to climate change. In order to enable the farmers to cope with the challenges associated with climate change, climate-smart agricultural (CSA) practices were introduced. It must be noted that CSA practices depend on economic, environmental, and social attributes; hence, location-specific studies are required to identify the determinants of CSA adoption. The present study aims to identify the factors influencing smallholder farmers’ adoption of CSA strategies in the highly vulnerable Nagaon district of India. Our study has incorporated six forms of capital: physical capital, social capital, human capital, financial capital, natural capital, and institutional capital in its analytical framework. The influence of these capitals is examined on the farmers’ adoption decision. We use a mixed-method approach to conduct the analysis. A multivariate probit model is used for the quantitative analysis, and excerpts from focus group discussions are presented as qualitative information gathered from field surveys. Three unique variables are included in the present study: the use of agricultural applications by smallholder farmers, the application of indigenous technical knowledge, and access to government-provided seeds. Each of the three variables was found to be statistically significant. Further, the study found the variables under social capital, physical capital, and institutional capital to be critical determinants affecting CSA adoption by smallholder farmers. [ABSTRACT FROM AUTHOR]

We analyse the outcomes for scientists from science-industry collaboration projects and study the conditions under which these outcomes emerge. While previous research analyses the motivations for scientists to collaborate and the characteristics of such collaborations, we focus on the generated outcomes. We provide a new conceptualisation of collaboration outcomes and distinguish three different types: scientific outcomes, commercialisable outcomes, and follow-up cooperation. We argue that scientific factors influence the generation of scientific outcomes, and economic factors the generation of commercialisable outcomes, accordingly; interaction factors are proposed to influence the emergence of follow-up cooperation. We further propose that these outcomes depend on each other and hence are co-generated. We test our propositions with survey data from scientists in the German state of Thuringia. We develop novel survey items about characteristics of scientists' last collaboration with an industry partner and its outcomes. Multivariate probit estimations show that scientific factors positively relate to scientific outcomes, and interaction factors are relevant for follow-up cooperation. However, when it comes to economic factors, we find mixed evidence of their relation to commercialisable outcomes. The outcome interdependence exists between scientific outcomes and the other two types of outcomes but not between commercialisable outcomes and follow-up cooperation. Our results can be used by policymakers and science managers to design and strengthen the support for collaboration projects. [ABSTRACT FROM AUTHOR]

Despite global and developing countries' efforts to address maltreatment across various sectors, limited attention has been given to its impact on agriculture. This study investigates the effects of maltreatment of smallholder youth farmers specifically physical abuse, sexual abuse, and emotional abuse on agricultural productivity among smallholder youth farmers. Employing a statistical research design, data from the Tanzania Integrated Labor Force Survey 2020/21 are analyzed. The study utilizes a Multivariate Probit (MVP) model to estimate determinants of maltreatment, and instrumental variable models (Two Stage Least Squares, Two Stage Residual Inclusion, and Control Function Approach) to estimate the effects of maltreatment on agricultural productivity with proximity to local law enforcement as an instrument to control endogeneity. The results reveal that Tanga (21.46%), Morogoro (17.08%), Kilimanjaro (17.06%), and Dodoma (15.00%) exhibit a high prevalence of maltreatment practices among youths, whereas Geita, Kusini Pemba, Kusini Unguja, Mjini Magharibi, Njombe, Rukwa, Simiyu, and Tabora display relatively few instances. Furthermore, factors such as gender, age, residence, and disabilities are key determinants of maltreatment. Additionally, maltreatment has varying effects in reducing agricultural productivity significantly such that physical abuse (β = −0.2315, p < 0.01), sexual abuse (β = −0.4281, p < 0.01), and emotional abuse (β = −0.1965, p < 0.01). This study implies that addressing maltreatment is crucial for enhancing the well-being and productivity of smallholder youth farmers. Moreover, it informs policy on the need for targeted interventions to mitigate maltreatment and recommends gender-sensitive agricultural policies, rural development initiatives, educational and skill-building programs, disability-inclusive policies, workplace support, and mental health resources, and the integration of technology for sustainable agricultural practices.

IntroductionThere is a global priority to ensure food security, environmental conservation and sustainability. The adoption of inputs such as organic manures, biofertilisers, and biopesticides has been widely promoted as a way to enhance agricultural sustainability, yet their adoption rates remain notably low. The study examines the determinants and impact of the adoption of multiple sustainable inputs by paddy farmers in India. The study also examines the drivers behind the intensity of their adoption and their technical efficiency.MethodsThe study utilises the survey dataset on paddy farmers from “Situation Assessment of Agricultural Households and Land and Livestock Holdings of Households in Rural India” of the 77th National Sample Survey (NSSO) round. The reference period for data collection was the agricultural year from July 2018 to June 2019. The analytical methods employed include the Multivariate Probit and Ordered Probit models, Seemingly Unrelated Regression, Regression Adjustment model, and Stochastic Frontier method.ResultsThe empirical findings reveal that the adoption and intensity of sustainable inputs depend significantly on factors such as the household head’s age and education, household size, and access to extension services. Adopting sustainable inputs has significant benefits, such as increased harvest value. However, the currently available technical advisory services are limited in effectively promoting the expenditure on sustainable inputs. Technical efficiency analysis underscores the potential for improvement and the importance of utilising optimal input levels. The research findings provide strong evidence in favour of advocating for the use of sustainable inputs in paddy farming.

Frequent climate variability and change had the strongest direct influences on the availability and accessibility of food through reducing agricultural productivity and cropping patterns. Despite the Ethiopian government having made substantial efforts to boost production and productivity through the introduction of Climate Smart Agriculture Practices (CSAPs), the implementation of these practices by smallholder wheat farmers has remained low. This study, therefore, tried to investigate the determinants of the adoption of CSAPs in Northwestern Ethiopia. The primary data were gathered from 385 randomly selected wheat producers (including 702 plot-level observations). The CSAPs considered in this investigation were wheat row planting, crop rotation, and improved wheat varieties. The factors that influence the adoption of CSAPs were determined using a multivariate probit (MVP) model. The results revealed that the age of the sampled wheat producer farmers, education level of sampled wheat farmers, livestock holding, contact with development agents, credit access, off-farm activities participation, distance to input supply institution, slope of the plot, and soil fertility status of the plot were the major determinants of the adoption of CSAPs. The study suggested that policy-makers and stakeholders should strengthen farmers’ skills by providing sufficient and effective short-term training. Moreover, encouraging mixed crop-livestock production systems, strengthening credit access, development agents, and access to near-input supply institutions are required to scale-up the adoption of CSAPs.

Increasing agricultural productivity through the uptake of sustainable agricultural practices (SAPs) offers a credible pathway to addressing food insecurity while preserving vital ecosystem resources, as such, factors that drive farmers' decisions to adopt these SAPs need examination. Most extant studies, on the adoption of SAPs, however, tend to place emphasis on socioeconomic incentives, giving little attention to the role of professional networks and institutional factors especially on oil palm which has strong links to deforestation and reduction in tree cover despite the numerous economic benefits. Using cross-sectional data from six oil palm producing regions in Ghana, this study analyses the role of producer membership, links with institutions such as NGOs, and extension access in the adoption of improved seeds, fertilizers, pest management practices, soil and moisture conservation practices, and legume cover crops among oil palm farmers in Ghana. The study employs a multivariate probit model to examine the probability of adopting SAPs and a poisson regression to model the intensity of SAPs adopted. The study also uses the instrumental variable approach to circumvent the issue of endogeneity. Results indicate that these networks and institutions significantly affect farmers’ adoption of SAPs. The study also finds heterogeneous associations with the adoption decisions depending on the type of innovation. In particular, we show evidence that farmers’ link with formal institutions is negatively associated with the adoption of diverse input intensive technologies, whereas it is positively associated with the adoption of natural resource management technologies. However, we find a consistent positive association of membership of producer organization on the adoption of different SAPs except legume cover cropping. Though differing relationships, we find that extension access and membership of producer organization are significantly associated with the intensity of SAPs adoption. Taken together, our findings suggest an integrated approach by the actors in the promotion of SAPs.

Heat-tolerant tomato (Solanum lycopersicum L) can be used to alleviate the impact of climate variability, increase productivity, and increase income of smallholder vegetable farmers under tropical conditions. Adoption of improved nursery practices and willingness to adopt heat-tolerant tomato varieties under tropical conditions was examined. Using data from 432 tomato farmers, multivariate probit and tobit regression models were used to assess willingness to adopt heat-tolerant varieties and number of nursery practices. Willingness to adopt heat-tolerant tomato varieties was positively influenced by education, experience, and extension contacts. Adoption of improved nursery practices was influenced by sex, household size, off-farm income, credit, education and extension. These results will enable decision-makers to prioritize strategies that target educated farmers with more years of experience in tomato production and have contacts with extension to enhance the adoption of heat-tolerant tomato seeds with complementary improved nursery practices to increase productivity and income of smallholder tomato farmers under tropical conditions.

Adoption of climate-smart agriculture practices are believed to have significantly lessened the devastating impact of climate change on agriculture. However, in countries like Ethiopia, the adoption and use level of climate-smart agriculture practices remains low. The understanding of farmers’ levels of CSA practice adoption and influencing factors is therefore crucial. The goal of the study is to evaluate the degree to which various CSA practices were being used in the study area, as well as adoption determinants. The study was conducted in Welmera district, Oromia, Ethiopia. Three kebeles were chosen from the district, and a random sample of 306 farmers was picked. We used a cross-sectional household survey, a focus group discussion, and interviews with key informants. A multivariate probit model was employed to investigate the factors influencing the adoption of multiple climate-smart agriculture practices. According to the result, conservation agriculture, integrated soil fertility management, and crop diversification are the most often used CSA practices. The results also revealed that male farmers outperformed female farmers in terms of crop diversity and improved animal feed and feeding practice adoption. The age of farmers has a considerable and unfavorable impact on their likelihood of adopting improved soil fertility management and crop diversification practices. However, it has a positive and considerable impact on the adoption of agroforestry practices. With regards to economic factors, having a relatively big farmland area considerably enhances the adoption of conservation agriculture, enhances soil fertility management and crop diversity, and improves livestock feed and feeding methods and post-harvest technology practice. Improved livestock feed and feeding are more likely to be used with higher farm income. Having a significant number of animals strongly promotes the adoption of conservation agriculture, and access to financial services positively impacts agroforestry, diversification of crops, and postharvest technology practice adoption. Furthermore, institutional factors including access to agricultural extension services and training were discovered to be important and beneficial for crop diversification; similarly, access to field day participation was discovered to have a significant and positive impact on the adoption of conservation agriculture and improved soil fertility management practices. It is critical to raise awareness about climate change among farmers and experts, as well as to incorporate location-specific CSA practices into agricultural programs.

Purpose – Change of climate is attributed to human activity that alters the composition of the global atmosphere observed over comparable periods. The purpose of this paper is to explore smallholder farmers' perceptions of climate change and compare it with meteorological data, as well as to identify perceived adaptation barriers and examine the factors that influence the choice of adaptation options in eastern Ethiopia. Design/methodology/approach – In total, 384 sample households were chosen from four districts of the zone. A cross-sectional survey was used to conduct the study. Primary data was acquired through key informant interviews, focus group discussions and semistructured interviews, whereas meteorological data was collected from the National Meteorological Service Agency of Ethiopia. A Mann–Kendall statistical test was used to analyze temperature and rainfall trends over 33 years. A multivariate probit (MVP) model was used to identify the determinants of farmers' choice of climate change adaptation strategies. Findings – The result indicated that temperature was significantly increased, whereas rainfall was significantly reduced over the time span of 33 years. This change in climate over time was consistently perceived by farmers. Smallholder farmers use improved varieties of crops, crop diversification, adjusting planting dates, soil and water conservation practices, reducing livestock holdings, planting trees and small-scale irrigation adaptation strategies. Moreover, this study indicated that sex of the household head, landholding size, livestock ownership, access to extension, access to credit, social capital, market distance, access to climate change-related training, nonfarm income, agroecological setting and poverty status of the households significantly influence farmers’ choice of adaptation strategies. Research limitations/implications – Further research is required to evaluate the economic impact of each adaptation options on the livelihood of smallholder farmers. Practical implications – Institutional variables significantly influenced how farmers adapted to climate change, and all of these issues might potentially be addressed by improving institutional service delivery. To improve farm-level adaptation, local authorities are recommended to investigate the institutional service provision system while also taking demographic and agroecological factors in to account. Originality/value – This study compared farmers' perceptions with temperature and rainfall trend analysis, which has been rarely addressed by other studies. This study adopts an MVP model and indicated the adaptation strategies that complement/substitute strategies each other. Furthermore, this study discovered that the choice of adaptation options differed between poor and nonpoor households, which has been overlooked in previous climate change adaptation research.

A study was undertaken to analyse farmers’ access to various agricultural extension service sources, their preferences and to delineate underlying determinants for their access. The study used NSSO 77th survey dataset of 14,782 households of IGP states (Bihar, Haryana, Punjab, Uttar Pradesh, West Bengal). Farmers’ preferences varied, with private agencies—particularly input dealers—emerging as the top choice, followed by traditional mass media channels and the public extension system. Utility of Cooperative model, and farmer-based organizations have not yet been fully explored for information needs. The inputs (seeds, fertilizers, plant protection) were the most sought-after information. However, in an era of changing needs, farmers should strive to acquire additional information on aspects such as marketing, climate change, and post-harvest functions. The type of information sought by the farmers, influences their preferred sources of extension services. Irrespective of the source, the degree of access diminishes with the decreasing landholding. Among the five IGP states, Haryana emerged as the champion of information access for farmers, while Bihar lagged. Multivariate probit analysis reported that the likelihood of access to agricultural information sources was positively influenced by age, gender, education, size of operational landholding, irrigated area, and sale of produce at MSP. The study suggests making the extension services for small and socio-economically marginalized farmers more inclusive. Inclusiveness of extension services is essential for sustainability because it ensures that all farmers, regardless of their landholding, gender, age, caste, etc., have access to knowledge and resources they need to adopt improved agricultural practices and thus, secure prosperous livelihoods.

Smallholder households in developing countries often face challenges related to market access. Despite being proposed as a potential solution, cooperatives in the north of Benin have reportedly failed to effectively address this issue. The alternatives channels used by smallholder famers and the factors that influence their choices remain unclear. This paper adopts a mixed approach, combining qualitative analysis with quantitative methods, particularly the multivariate probit model, to investigate the distribution channels of maize used by farmers in the Kandi district of Benin. The study aims to identify the current distribution channels of maize in Kandi and analyze factors that affect, smallholder producers choice of marketing channel. Initially, the study identified four primary channels for marketing maize—namely, collectors, wholesalers, brokers, and cooperatives—and producers typically commonly engage in multiple channels simultaneously. Subsequently, It becomes evident that factors such as age, cooperative membership, distance to market, reliance on informal credit, average maize bag prices, and the timing of sales significantly influence producers' selection of marketing channels. Interestingly, despite cooperatives offering comparatively higher prices, the majority of farmers opt for collectors due to the informal credit they provide and their practice of purchasing large volumes of maize bags at pre-agreed prices. In conclusion, enhancing joint-selling capabilities of cooperatives and establishing a credit provision business tailored to maize producers are identified as crucial steps. These measures aim to alleviate producers’ financial strain, diminish their dependence on collectors for credit, and bolster their bargaining power in the market.

Sustainable land management (SLM) practices are essential for achieving food security, economic growth, and increasing farmer income in Côte d'Ivoire. Despite the alarming proportion of degraded land in the country and the necessity to reverse its negative trend, its adoption remains low. Thus, identifying the determinants of the simultaneous adoption of SLM practices is essential to develop and implementing appropriate policies to improve the productivity of land and farmers’ income. Using a multivariate probit (MVP) model with data collected from 785 farmers through questionnaires in the Iffou region, we analyze and identify the determinants of simultaneous adoption of SLM practices under a changing climate. The results reveal that the SLM practices are complementaries, meaning that the SLM practices adoption are linked. Also, the MVP results show that out of seventeen independent variables, sixteen significantly influence the SLM practices adoption. These variables are classified into demographic, institutional, physical, economic, and attitudinal factors. Overall results show that the government must establish and strengthen local agricultural institutions and policies to promote the adoption of SLM practices to achieve food security and improve farmers’ income. [ABSTRACT FROM AUTHOR]

Coastal households in Bangladesh are exposed to a variety of extreme climate events, which represent a major threat to food security. However, there is a dearth of empirical research on the adoption and impact of climate change (CC) adaptation measures on food security. Using cross-sectional data from 750 households, this study investigates farmers' perceptions of CC, the drivers of adaptation measures, and the impact on the household food security in coastal areas of Bangladesh. The data were analyzed using descriptive statistics, multivariate probit, and propensity score matching. According to the findings, most respondents believed that CC is occurring. Climate change adaptation measures were classified into six categories. Borrowing and selling of assets, as well as off-farm labour employment, were used as adaptation measures by more than 85% of the households. Crop farming-related adaptation measure was used by around 47% of the households. Among the explanatory factors, cultivable land area, farming experience, access to climate information, yearly income, and location of households had a significant role in the choice to use adaptation measures. The findings suggested that agriculture-based adaptation measures, such as a change in crop farming technique, significantly reduced food insecurity, whereas off-farm labour employment, as well as borrowing and selling of assets, increased it (as measured on the household food insecurity access scale [HFIAS]). This analysis suggests that government and non-governmental organizations operating in coastal communities may want to prioritize actions to increase understanding and access to climate information amongst farmers and other households. Policies that are location-specific and specific to farmers' needs must also be developed to fully reap the benefits of adaptation measures. Future measures should focus on increasing coastal households' capabilities and enhancing their understanding and access to climate information. Adaptation measures, such as borrowing and selling assets, increase household food insecurity. Therefore, adoption of agriculture-based adaptation measures should be emphasized in coastal region's development policies. Greater attention should be paid to the exposed coastal areas, where the implementation of adaptation measures is found to be lower than in the interior coastal areas. Creating permanent off-farm employment opportunities as opposed to temporary off-farm work may also aid in adapting to climate change while also contributing to food security. [ABSTRACT FROM AUTHOR]

Abstract Background Increasing agricultural productivity has long been touted as the main avenue to lifting the rural poor out of poverty and ensuring their sustainable development. The adoption of sustainable agricultural practices (SAPs) is vital for spurring agricultural productivity in a changing climate environment. This paper examines the factors (including long-term climate variability) influencing the adoption of multiple SAPs (improved seeds, organic and inorganic fertilizers, and legume intercropping) and their impact on crop productivity. Methodology This study uses a nationally representative, geo-referenced plot-level data from a household survey in Nigeria. A multistage sampling technique was used to select households for the survey. The multivariate and ordered probit models were employed to estimate the adoption and intensity of adoption respectively, while the instrumental variables approach was used to examine the impact of the technologies on productivity. Results The results provide evidence of interdependences between the SAPs, and that the factors that determine the initial adoption decisions are not necessarily the same factors that influence the intensity of use of the technologies. Climate risks in terms of high variability in temperature and rainfall affect SAPs adoption and their intensity of use. Access to agricultural extension, years of education and off-farm activities of the plot manager, and household wealth influence the use of improved seeds and inorganic fertilizer. Organic fertilizers are used mainly by households with large livestock units and those that live in areas with low soil nutrients and greenness index. In general, the intensity of SAPs adoption is influenced by wage and off-farm activities, and access to agricultural extension services. On the productivity side, inorganic fertilizer is positively correlated with plot-level productivity. Conclusions These results have implications for rural development policies in Nigeria aimed at nudging farmers to adopt multiple technologies on their plots, while enhancing an outward shift of their crop production functions. Providing technical and financial resources to extension agents is crucial so they could better reach rural smallholder households with the knowledge and benefits of these SAPs. In addition, smallholder households should diversify their livelihood portfolios to include non-farm income generating activities. Agricultural Research and Development should target factors that respond to climate variabilities (such as drought resistant and early maturing varieties). There is a need for improved infrastructures (road networks to allow easy market access as well as access to credit) that will allow farmers to access these innovations.

AbstractFood-borne diseases remain a pressing global health issue, particularly in developing countries. Inadequate knowledge and low adoption of food safety practices among beef sellers lead to cross-contamination of raw beef, significantly contributing to the occurrence of beef-borne diseases. To effectively address this problem, it is crucial to prioritize the development of perception and adoption of food safety practices among beef sellers and consumers. Therefore, this paper examines perception and adoption of food safety practices using data from 820 beef sellers and 562 beef consumers in Ghana. We found positive perceptions with beef consumers and sellers about food safety practices. Additionally, the adoption of food safety practices by beef sellers was influenced by gender, age, educational level, income, credit access, engaged in other economic activity and membership of association. To ensure sustainable and healthy beef processing, consumption and marketing, enforcement of periodic medical examinations and hygienic selling environments should be considered. Policies for strengthening credit access capacity to drive the adherence to safety practices should be geared towards sellers in the beef industry.

AbstractChickpea is a popular food in Ethiopia and is an important source of income for many smallholder farmers. In order to promote chickpea cultivation and make it more economically viable, it is necessary to determine which markets are most suitable. Among the econometric models, the multivariate probit model is appropriate and was used to study the determinants affecting the choice of outlets for chickpea in the district. The model found that wholesalers and retailers (61% and 18% of total buyers, respectively) were the most likely to purchase chickpeas. Collectors (25% of buyers) and consumers (35% of buyers) are also important, but are less likely to succeed compared to the other market participants. Based on these results, the government and other stakeholders need to focus on developing infrastructure and improving access to credit to help farmers decide which market to target and choose the best one.

AbstractBamboo meets a growing and various bamboo product demands and generates revenue. The study aimed to analyze the factors that affect the choice of alternative bamboo market outlets. By using two stages sampling procedures, 114 bamboo producers were randomly and proportionally selected. The determinants that affect the choice of bamboo market outlets were analyzed by multivariate probit (MVP) model. Based on the model result, the probability of bamboo producers to select wholesalers, retailers, processors and local traders outlet were 16.8%, 46.2%, 60.8% and 54.3%, respectively. The probability of success and failure to select four market outlets were 2.5% and 2.2%, respectively. The result of MVP revealed that family size, total land holding size, amount of culm production, farming experience, distance to the market and silviculture management practice affect the probability of farmers market outlet choice. Therefore, this study gives an emphasis to the analysis of bamboo market outlets for bamboo culm producers to increase the market return for producers.

Given that Ethiopian agriculture is seriously threatened by climate change, understanding the factors that influencing the adoption of various climate-smart agricultural (CSA) practices supports policy interventions to reduce negative effects of climate change. Therefore, this study was aimed at exploring determinants of the adoption of multiple CSA practices by focusing on crop production. This study used data from 271 randomly selected smallholder farmers from the Gamo, Gofa and Konso zones of Southern Ethiopia, and a multivariate probit (MVP) model was used to analyze the data. Crop diversification, irrigation, drought-tolerant and early-maturing crop varieties, integrated soil fertility management, and integrated pest management were prominent CSA practices to improve crop productivity, increase adaptivity capacity, and mitigate the adverse climate change effects in the study area. The study's findings indicate that the adoption of CSA practices varies considerably between farmers and agroecology. The MVP simulation result reveals that farmers’ adoption decisions for CSA practices are highly interdependent, indicating that farmers adopt two or more adaptation and mitigation strategies as mutual CSA practices. Furthermore, the regression result reveals that the education level of farmers, extension contact, accessing climate variability information, access to irrigation facilities, and social group participation were similar underlying factors that affected the adoption decision of CSA practices. By providing climate change information, respective organizations should encourage farmers to utilize available alternate irrigation access and climate-resilient crop varieties. In addition, strengthening social norms through agricultural cooperatives and training on the application of integrated pest management and soil fertility management are suggested to spur farmers' CSA uptake.

Financial inclusion has become an important goal of the global development agenda, particularly for post-conflict and fragile states. Enhancing financial inclusion is vital for a country like Burundi which aims to achieve inclusive growth in its attempt to break free of its fragility. However, the adoption of instruments of financial inclusion such as bank account, microfinance account and mobile money account is low due to weak institutional capacity leading to high-risk exposure and a greater risk of economic instability. This study examines the factors that influence the adoption of these instruments of financial inclusion using the Multivariate Probit and Poisson regression models. The results show that there is a significant correlation between the instruments of financial inclusion, signifying that the adoption of these instruments is interrelated. The analysis also reveals that, factors such as receipt of government transfers, receipt of remittances, education, membership of a social network, access to electricity, employment status, and area of residence influence both the probability and intensity/extent of adoption of the instruments of financial inclusion. By implication, policymakers should enhance access to electricity, formalise employment and strengthen social networks to improve the adoption of financial inclusion instruments.

This paper investigates the factors that drive farmers' simultaneous adoption of six water conservation practices (WCPs) and the intensity of their adoption. We estimate farmers' adoption of these WCPs with a multivariate probit model, and for the intensity of their adoption, an ordered probit model is estimated. Our results show that gender, age, education, and farm size (among other factors) influence the probability and extent of adoption of WCPs. Furthermore, combinations like drip and/or sprinkler irrigations and cover cropping, drip and/or sprinkler irrigations and intercropping (among others) are complements, suggesting the bundling of these WCPs. [ABSTRACT FROM AUTHOR]

Globally, nearly 1.3 billion people have no access to electricity, and 3.0 billion people rely on 'dirty' fuel such as firewood and biomass for cooking and heating. In Indonesia, firewood is still the fuel of choice when cooking due to its low cost and abundant availability in rural areas. However, the adverse consequences of the indoor air pollution produced through cooking are neglected. Furthermore, the use of firewood for household energy is also associated with slash and burn practices, which drive deforestation and environmental degradation. The use of clean energy, therefore, is imperative for improving people's health and minimizing their environmental footprint. Having this insight, this study aims to examine the factors associated with households' choice of energy for cooking. Using Indonesia Family Life Survey-East, which specifically collected information from households in the eastern part of Indonesia, the study demonstrates that reliance on clean energy is highest among affluent households and households with better socio-economic indicators (including higher education, non-farm livelihoods, smaller sizes, and electricity connectivity). Households located in urban areas and households located closer to markets tend to rely more on gas for cooking energy. In contrast, poorer rural households residing in villages with abundant natural resources (i.e., with a high share of forests and farmland) generally use firewood as their main source of energy when cooking. The findings of this research also show that energy prices are important in explaining the use of clean or dirty fuel for cooking. It is suggested that efforts to enhance household clean energy use are driven by improved household economic status (especially income and education), access to markets, and stable energy prices. Policy interventions that account for energy and environment issues need to be designed to reduce the overuse of firewood for cooking energy in households living next to common property resources. [ABSTRACT FROM AUTHOR]

Understanding the choice of healthcare facility utilisation is essential to the provision of need-based healthcare services to the population. This study was carried out to estimate factors influencing the choice of healthcare facilities utilised by rural households. A multistage sampling procedure was used to select 240 rural households comprising 1440 persons. Data were collected with the use of a structured questionnaire and analysed with descriptive techniques and a multivariate probit (MVP) model. The MVP result showed that households supplement public healthcare facilities with private clinics, support traditional medical treatment with self-medication, and replace self-medication with public healthcare facilities and private clinics. Similarly, age, gender, household size, cost of drugs, distance to public healthcare facilities, travelling cost, contact with community health workers, total income, awareness of public health facilities, quality of health facilities, and terrain of health facilities influence the choice of healthcare facilities utilised. The study concluded that increased total income, contact with community health extension workers, awareness of health facilities, and perceived quality of services rendered positively influence the choice of healthcare facilities sorted after while the increase in the cost of drugs, distance to health facilities, travelling cost and difficult terrain of health facilities negatively impact the choice of healthcare facilities utilised. The study recommended that public healthcare facilities should be located within the reach of the people and equipped with essential drugs at a reduced cost. Households should also engage in activities that will increase their income so that they can use better healthcare facilities.

Abstract Background Rice (Oryza sativa L.) production, such as farmers’ livelihood and the soil quality, has been identified to be strong influenced by climate change in China. However, the benefits of low carbon technologies (LCTs) are still debatable in rice production for farmers, which have been identified to tackle agricultural challenges. The choice of potential LCTs relevant to the case study is based on a literature review of previous empirical studies. Thus, the objectives of the study were to (1) investigate the public perception and preferences of LCTs in rice production of China, and (2) analyze the influences of the factors on farmer’s decision in adopting LCTs in rice production. There were 555 farmer surveys from eight representative rice production counties in HP province of southern China, both the Poisson estimators and multivariate probit (MVP) approach were applied in the study. Results Our results show that water-saving irrigation, integrated pest management techniques and planting green manure crops in winter season were the three major LCTs adapted by farmers in rice production. The intensity and probability of LCTs adoptions were influenced by the main factors including farmers’ education level, climate change awareness, machinery ownership, technical support and subsidies. There is a significant correlation among the LCTs, and the adoption of the technologies is interdependent, depicting either complementarities or substitutabilities between the practices. Conclusions This study suggests that policies enhance the integration of LCTs would be central to farmers’ knowledge, environmental concerns, technical service and financial support in rice production systems in China.

The damaging effects of changing climate on farm-household food security are steadily increasing in sub-Saharan Africa. Adaptation strategies are important for agrarian households to reduce the adverse effects on their food security. This study employed multivariate probit and endogenous switching regression models to analyze the determinants of farm households' choice of climate-change adaptation strategies, such as the cultivation of early maturing crops, early planting, growing drought-tolerant maize varieties, using precautionary savings, practicing income diversification, and sale of assets, and their effects on household food security in Tanzania. Information on expected rainfall and temperatures, early warning systems, previous droughts, delays in the onset of the rainy season, sex and age of the farmer, educational level, farming experience, family size, total farmland holding, number of livestock owned, contact with extension agents, and access to credit services were all found to influence decisions by farm households to use strategies of adaptation to climate change. Overall, the adaptation of farm households to climate change increased their food security status. An analysis of "adapter" and "non-adapter" farm households showed that the effect of adaptation on food security was smaller for households that adapted than for households that did not. Thus, we recommend that further effective adaptation strategies such as planting drought-resistant crops, changing planting dates, planting early maturing crops, and practicing income diversification be developed and used, particularly for the most vulnerable farm households, to mitigate the adverse impacts of climate change on their food security. [ABSTRACT FROM AUTHOR]